Multivariable control of the bifurcation and harmonic perturbations to improve the performance of air-handling units.

In this research, nonlinear dynamics of an air-ehandling unit (AHU) is studied for tracking objectives, in the presence of harmonic perturbations. Three arbitrary realistic set-paths are considered for the indoor temperature and relative humidity. Two controllers based on feedback linearization (FBL) and pole placement approaches are designed to preserve the dynamic system around the desired tracking paths. It is shown that FBL controller works efficiently in bifurcation control and transforms the quasi-periodic limit cycles into the periodic ones (and consequently comfortable indoor conditions). In addition, FBL controller guarantees suppression of larger periodic limit cycles into the smaller ones, while it requires the lower air and cold water flow rates with less oscillatory behavior (in comparison with the pole-placement controller). However, it is observed that FBL controller fails in bifurcation control when the disturbance frequency increases. Re-tuning the dynamic gains of FBL controller is essential under such conditions.

[1]  Feng Hong,et al.  Energy optimal control of a residential space-conditioning system based on sensible heat transfer modeling , 2004 .

[2]  Reinhard Radermacher,et al.  Simulation of a VAV air conditioning system in an existing building for the cooling mode , 2009 .

[3]  Shengwei Wang,et al.  Model-based optimal control of VAV air-conditioning system using genetic algorithm , 2000 .

[4]  Karel Mařík,et al.  A methodology for quantitative comparison of control solutions and its application to HVAC (heating, ventilation and air conditioning) systems , 2012 .

[5]  Nan-Chyuan Tsai,et al.  Near-optimal order-reduced control for A/C (air-conditioning) system of EVs (electric vehicles) , 2014 .

[6]  A. Nayfeh,et al.  Applied nonlinear dynamics : analytical, computational, and experimental methods , 1995 .

[7]  Shengwei Wang,et al.  Robust Model Predictive Control of VAV Air-Handling Units Concerning Uncertainties and Constraints , 2010 .

[8]  Aria Alasty,et al.  Nonlinear dynamics, bifurcation and performance analysis of an air-handling unit: Disturbance rejection via feedback linearization , 2013 .

[9]  M. Zaheer-uddin,et al.  Dynamic simulation of energy management control functions for HVAC systems in buildings , 2006 .

[10]  Ming Liu,et al.  Review of research on air-conditioning systems and indoor air quality control for human health , 2007 .

[11]  Ye Yao,et al.  A simple dynamic model of cooling coil unit , 2006 .

[12]  Wai Lok Chan,et al.  An automatic data acquisition system for on-line training of artificial neural network-based air handling unit modeling , 2005 .

[13]  Hamed Moradi,et al.  Nonlinear multivariable control and performance analysis of an air-handling unit , 2011 .

[14]  Christian Ghiaus.  Linear algebra solution to psychometric analysis of air-conditioning systems , 2014 .

[15]  Jlm Jan Hensen,et al.  Overview of HVAC system simulation , 2010 .

[16]  Raad Z. Homod,et al.  Assessment regarding energy saving and decoupling for different AHU (air handling unit) and control strategies in the hot-humid climatic region of Iraq , 2014 .

[17]  Manuel Alcázar-Ortega,et al.  Application of an energy management and control system to assess the potential of different control strategies in HVAC systems , 2010 .

[18]  Shengwei Wang,et al.  Development of an adaptive Smith predictor-based self-tuning PI controller for an HVAC system in a test room , 2008 .

[19]  Lei Liu,et al.  Research on operating characteristics of direct-return chilled water system controlled by variable temperature difference , 2012 .

[20]  M. Zaheer-uddin,et al.  Optimal control of time-scheduled heating, ventilating and air conditioning processes in buildings , 2000 .

[21]  Roderick Melnik,et al.  Model-based analysis and simulation of airflow control systems of ventilation units in building environments , 2007 .

[22]  Francesco Calise,et al.  Dynamic energy performance analysis: Case study for energy efficiency retrofits of hospital buildings , 2014 .

[23]  P. Lettieri,et al.  An introduction to heat transfer , 2007 .

[24]  Andrew Kusiak,et al.  Modeling and optimization of HVAC systems using a dynamic neural network , 2012 .

[25]  Christian Inard,et al.  Grey-box identification of air-handling unit elements , 2007 .

[26]  Rahul L. Navale,et al.  Use of genetic algorithms to develop an adaptive fuzzy logic controller for a cooling coil , 2010 .

[27]  Youngil Kim,et al.  Controller design for a real-time air handling unit , 2002 .

[28]  Pan Dongmei,et al.  Air-conditioning for sleeping environments in tropics and/or sub-tropics - a review , 2013 .

[29]  Shui Yuan,et al.  Model predictive control of supply air temperature and outside air intake rate of a VAV air-handling unit , 2006 .

[30]  Stéphane Ginestet,et al.  Control tuning of a simplified VAV system: Methodology and impact on energy consumption and IAQ , 2010 .

[31]  Hamed Moradi,et al.  Multivariable robust control of an air-handling unit: A comparison between pole-placement and H∞ controllers , 2012 .

[32]  Qinghua Wu,et al.  Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system , 2014 .

[33]  Rafael Alcalá,et al.  Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms , 2003, Applied Intelligence.

[34]  Andrew Kusiak,et al.  Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm , 2011 .